Instructions to use davidilag/wav2vec2-xls-r-300m-cpt-200h-FO-IS-NO-DK-SE-cp-best-faroese-100h-30-epochs_run9_2025-09-11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidilag/wav2vec2-xls-r-300m-cpt-200h-FO-IS-NO-DK-SE-cp-best-faroese-100h-30-epochs_run9_2025-09-11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="davidilag/wav2vec2-xls-r-300m-cpt-200h-FO-IS-NO-DK-SE-cp-best-faroese-100h-30-epochs_run9_2025-09-11")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("davidilag/wav2vec2-xls-r-300m-cpt-200h-FO-IS-NO-DK-SE-cp-best-faroese-100h-30-epochs_run9_2025-09-11") model = AutoModelForCTC.from_pretrained("davidilag/wav2vec2-xls-r-300m-cpt-200h-FO-IS-NO-DK-SE-cp-best-faroese-100h-30-epochs_run9_2025-09-11") - Notebooks
- Google Colab
- Kaggle
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